Pulse
2026-09-18-v3.0
Dataset
2026-09-18-v3.0
Ruleset
b2e8889c66f7
Scanned
2026-09-16
Window
February–September 15, 2026
Local to this browser

01Result

EthicalML/awesome-production-machine-learning ↗

EthicalML/awesome-production-machine-learning AI coding statistics: 40%

of 55 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 55 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
40% agent · top contributor 95.5%2 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

22
agent commits
33
other considered commits
2
agent contributors
95.5%
largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

22assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached. Across the whole index, 96% of agent commits are assisted.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-0271.4%7
2026-0360%10
2026-0477.8%9
2026-050%3
2026-0623.1%13
2026-0720%5
2026-080%3
2026-090%5

Peak month: 77.8%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
GitHub CopilotGitHub2138.2%
Claude CodeAnthropic11.8%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

  • 3739e3aa on GitHubAdd IsaacLab-Arena to Evaluation and Monitoring list (#803)GitHub Copilot
  • d5460117 on GitHubAdd Zvec to industry strength information retrieval list (#795)GitHub Copilot
  • 6b3c2394 on GitHubAdd Genesis and LeRobot to robotics section (#794)GitHub Copilot
  • f3071548 on GitHubAdd TabGAN - synthetic tabular data generation with GANs, Diffusion, and LClaude Code

04Method

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window55
Merge commits removed−0
CI / dependency bots removed−0
Considered55

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

05Provenance

Pinned to a source state

This observation names the repository state, release, and detector that produced it. Use these identifiers when reproducing or citing the result.

Dataset release
2026-09-18-v3.0
Scan date
2026-09-16
Ruleset
sha256:b2e8889c66f72c18a61839f0bf1a9f77b5481ba2def044dba33c797b2f2bdcae
Canonical repository
EthicalML/awesome-production-machine-learning
Default branch
master
Resolved HEAD
f0edc46fd73520b2e67cbf52b827986d032ed926 ↗
Resolved
2026-09-16
Measurement window
February–September 15, 2026
Download observation JSONDeterministic export · same values as this page

06Peer context

Position among comparable repositories

The cohort uses the same release and measurement window, then narrows to the repository’s ecosystem and removes low-activity observations.

CohortOther · 23 eligible repositories · at least 100 considered commits2026-09-18-v3.0 · February–September 15, 2026 · 78 of 101 ecosystem repositories excluded
Comparison withheld for low activity

This observation does not meet the 100-commit publication threshold. The cohort definition and sample size remain visible so the omission is auditable.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →GitHub AI commit analyzerInspect another repository with the same evidence model →
Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli EthicalML/awesome-production-machine-learning

Scan another repository

Try